EAPSI: Improving models of agricultural greenhouse gas emissions by mapping soil moisture variability with near-surface geophysics

EAPSI：通过绘制土壤湿度变化与近地表地球物理学来改进农业温室气体排放模型

• 批准号: 1414836
• 负责人: Jonathan Algeo
• 金额: $ 0.53万
• 依托单位: Algeo Jonathan T
• 依托单位国家: 美国
• 项目类别: Fellowship Award
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-06-01 至 2015-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1414836&HistoricalAwards=false
• 关键词: EAPSI; Improving; models; agricultural; greenhouse

Greenhouse gasses, such as methane are emitted from agricultural, fields at varying rates, based in part on the soil water content (SWC) of the fields. A map of the variability in SWC can be used as an input for climate models, improving our understanding of how agricultural activity affects the atmosphere. This research will use near-surface geophysical methods to detect changes in the amount of water present in the subsurface of agricultural fields. The proposed project will take place at Queensland University of Technology in collaboration with Dr. Remke Van Dam. The project will take advantage of the ongoing research that has been done in this area by the Healthy Ecosystems and Environmental Monitoring (HEEM) team at the Queensland University of Technology in Brisbane, Australia. Collaboration with supporting hydrologic and environmental research will help advance both this project and the existing projects.GHG emissions, which have important implications for climate change, have been shown to be affected by variability in SWC, but traditional methods of determining SWC such as TDR do not easily cover the field scale or larger scales. The GPR ground wave, which travels from the transmitting antenna to the receiving antenna through the very shallow subsurface, provides a way to, relatively quickly; create a field-scale map of the SWC variations at a field site. The resulting map can be used as an input for models of GHG emissions, allowing for upscaling of point measurements to the field scale. GPR reflection surveys will be carried out at field sites with ongoing GHG emission research projects. This NSF EAPSI award is funded in collaboration with the Australian Academy of Science.

温室气体，如甲烷，以不同的速率从农田排放，部分地基于农田的土壤含水量（SWC）。 SWC的变化图可以作为气候模型的输入，提高我们对农业活动如何影响大气的理解。这项研究将使用近地表地球物理方法来探测农田地下水量的变化。拟议的项目将在昆士兰州科技大学与Remke货车大坝博士合作进行。 该项目将利用澳大利亚布里斯班的昆士兰州科技大学健康生态系统和环境监测小组在这一领域正在进行的研究。 与支持水文和环境研究的合作将有助于推进这一项目和现有的projects.GHG排放，这对气候变化有重要影响，已被证明是受影响的变化，在SWC，但传统的方法来确定SWC，如TDR不容易覆盖现场规模或更大的规模。通过非常浅的地下从发射天线行进到接收天线的GPR地波提供了一种相对快速地在现场创建SWC变化的现场尺度地图的方式。由此产生的地图可用作温室气体排放模型的输入，允许将点测量升级到实地尺度。将在正在进行的温室气体排放研究项目的现场进行GPR反射调查。这个NSF EAPSI奖是与澳大利亚科学院合作资助的。